Railway Asset Management

Efficiently manage and optimize the performance of railway assets to improve safety, maintenance processes, support economic growth and minimize environmental impact. We can create a customized knowledge graph, federate across virtualized data silos to help you maximize your asset management for minimum cost and risk.

How You’ll Benefit

Have a 360° view of all your assets, systems, procedures, tools and activities;

Match and fuse data across numerous data silos and master systems;

Build dynamic simulation models (digital twins) of railway assets;

Analyze data about usage to enable predictive and preventive maintenance;

Apply easy to use semantic search over heterogeneous data;

Benefit from IoT integration and leverage your sensor network for actionable insights

How it Works

Semantic data integration

- Blend data from disparate sources by employing a data-centric architecture built upon an RDF model.
- Utilize and explore the industry standards developed by the industry domain leaders and regulators.
- Normalize data to concepts from major ontologies and registries used by the business.
- Employ proper semantic alignment that guarantees a high quality knowledge graph.
- Leverage complex sensor network aggregates for actionable insights and risk management

Knowledge graph

- Infer new facts and relationships by applying logical rules on data at scale, including temporal reasoning.
- Provide a semantically aligned model for data consumption and reuse.
- Run as a simulation model for managing assets and solving complex questions by using sequences of multiple causal relations.

Analytics and exploration

- Benefit from an evolving knowledge graph loaded with high-quality data and provenance on a single fact level.
- Use as a foundation for training machine learning and deep learning models to identify patterns and correlations between your assets.
- Create specific user interfaces for visualizing and exploring your newly created knowledge graph to support your decision-making process.